1.1 Trace plots for convergence check

The current MCMC setting is:

• 300000 iteration;
  
• 200000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.01       1.03
## dh0           1.01       1.01
## dh1           1.01       1.01
## dl0           1.01       1.02
## dl1           1.03       1.12
## dl2           1.00       1.02
## 
## Multivariate psrf
## 
## 1.05

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 300000 iteration;
  
• 200000 burn-in;
  
• 100 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum      0.999       1.00
## LDevsum      1.003       1.01
## dh0          1.042       1.14
## dh1          1.043       1.15
## dl0          1.120       1.33
## dl1          1.057       1.12
## dl2          1.026       1.08
## 
## Multivariate psrf
## 
## 1.05

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results

3.1 Trace plots for convergence check

The current MCMC setting is:

• 300000 iteration;
  
• 200000 burn-in;
  
• 100 thinning.

3.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## Devsum        1.00       1.01
## LDevsum       1.00       1.01
## dl0           1.12       1.33
## dl1           1.06       1.12
## dl2           1.03       1.08
## 
## Multivariate psrf
## 
## 1.03

3.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

3.4 WAIC results